Monorama Deb

42 papers receiving 1.0k citations

Peers

Monorama Deb
Comparison fields: 5 of 77
  • Molecular Medicine 315
  • Applied Microbiology and Biotechnology 76
  • Endocrinology 167
  • Infectious Diseases 339
  • Microbiology 74
Replace Srujana Mohanty with:
Srujana Mohanty India
Jainn-Ming Shyr Taiwan
J. Pita Spain
Miriam L. Beckius United States
Sona Soeng United Kingdom
Erum Saleem Khan Pakistan
F. Bert France
Abdoulaye Seck Senegal
Rayane Rafei Lebanon
Moataz Abd El Ghany Australia
Monorama Deb relative to Srujana Mohanty India Srujana Mohanty's profile →
Citations per field
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Srujana Mohanty · 1×
Citations per year

Countries citing papers authored by Monorama Deb

Since Specialization
Citations

This map shows the geographic impact of Monorama Deb's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Monorama Deb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monorama Deb more than expected).

Fields of papers citing papers by Monorama Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monorama Deb. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Monorama Deb. The network helps show where Monorama Deb may publish in the future.

Co-authors

The 25 scholars most cited alongside Monorama Deb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Monorama Deb Line = papers co-authored together Monorama Deb links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201286
2 201882
3
Emergence of non-albicans Candida species and antifungal resistance in a tertiary care hospital.
200568
4 201555
5 200554
6 201651
7 200750
8 201547
9 201346
10 200543
11 200843
12 200741
13
Resistance to erythromycin and rising penicillin MIC in Streptococcus pyogenes in India.
200639
14
Antimicrobial susceptibility patterns of Salmonella enterica serotype typhi in eastern Nepal.
200739
15 200935
16 200932
17 201332
18 201627
19 200725
20 200923

About Monorama Deb

Monorama Deb is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Epidemiology and Clinical Biochemistry, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Salmonella and Campylobacter epidemiology (8 papers), Vibrio bacteria research studies (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (4 papers), Pneumonia and Respiratory Infections (4 papers) and Streptococcal Infections and Treatments (4 papers). The work is most often cited by research in Molecular Medicine (315 citations), Applied Microbiology and Biotechnology (76 citations), Endocrinology (167 citations), Infectious Diseases (339 citations) and Microbiology (74 citations). Monorama Deb has collaborated with scholars based in India, United Kingdom and Nepal. Frequent co-authors include Pushpa Aggarwal, Malini Rajinder Capoor, Rajni Gaind, Deepthi Nair, Srujana Mohanty, Valinderjeet Singh Randhawa, Malini Shariff, Pradeep Kumar Verma, Harish Kumar Chellani and Smita Singhal. Their work appears in journals such as Journal of Medical Microbiology, Emerging infectious diseases, BMC Microbiology, Medical Mycology and Transactions of the Royal Society of Tropical Medicine and Hygiene.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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